Senior Staff Backend Engineer - Python, FastAPI, Linux

TI Solutions

United States

Remote

USD 36,000 - 62,000

Full time

5 days ago
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Job summary

TI Solutions in India Remote is seeking a Senior Staff Backend Engineer to design, build, and lead core backend and computation services for a scalable, data‑intensive platform. You will own architecture, drive technical decisions, and mentor engineers while collaborating with Data, AI/ML, Product, QA and other teams in a multi‑cloud, multi‑tenant environment.

Expertise in Python 3, SQL, Linux, Bash, Docker, Kubernetes, and distributed system design is required, with a proven track record of

Qualifications

  • 11+ years of backend/software engineering experience.
  • Strong hands-on Python 3 experience.
  • Excellent SQL skills with relational databases and data modeling.
  • Strong understanding of system design, scalability, performance, and distributed systems.
  • Linux Administration and Bash scripting experience.

Responsibilities

  • Design, develop, and own highly scalable backend and computation services.
  • Drive architecture and technical decisions for complex, data-intensive systems.
  • Build configuration-driven, reusable, and maintainable backend systems.
  • Design complex SQL queries, data models, and data-processing workflows.
  • Develop systems that are accurate, reliable, reproducible, testable, and auditable.
  • Design solutions for multi-tenant, multi-cloud, and customer-hosted environments.
  • Identify and resolve performance, scalability, reliability, and architectural challenges.
  • Establish and maintain high standards for code quality, testing, observability, and system reliability.
  • Collaborate with Data, AI/ML, Product, QA, and other engineering teams.

Skills

Python 3
SQL
Linux
Bash
Docker
Kubernetes
Backend system design
Architecture leadership

Tools

Git
CI/CD

Job description

TI Solutions in India Remote is seeking a Senior Staff Backend Engineer to design, build, and lead core backend and computation services for a scalable, data‑intensive platform. You will own architecture, drive technical decisions, and mentor engineers while collaborating with Data, AI/ML, Product, QA and other teams in a multi‑cloud, multi‑tenant environment.

Expertise in Python 3, SQL, Linux, Bash, Docker, Kubernetes, and distributed system design is required, with a proven track record of

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